Inicio
Statmedia projects in Statistical Education

Antoni Arcas, Antonio Miñarro and Miguel Calvo
Department of Statistics
Universitat de Barcelona
Esta dirección de correo electrónico está protegida contra los robots de spam, necesita tener Javascript activado para poder verla , Esta dirección de correo electrónico está protegida contra los robots de spam, necesita tener Javascript activado para poder verla , Esta dirección de correo electrónico está protegida contra los robots de spam, necesita tener Javascript activado para poder verla

  • Abstract
    The aim of the Statmedia group is to develop new tools to help in the teaching of applied statistics, hence improving the academic performance of our students and their motivation towards statistics. We consider that learning should be based on practical cases to motivate and encourage student participation. It was this consideration that prompted us to develop our first project, Statmedia I, a multimedia text of statistics. In order to make adaptation to the ESHE (European Space of Higher Education) smoother, we have also been working on an Internet-based design, publication and management system comprised of different sets of practical sessions on statistics, with specific data sets for each student in the course. The system provides for a wide variety of questions and also automated student-specific answer correction. In our present project, Statmedia III, we focus on activities rather than on isolated sessions in order to allow teachers to design an specic path for continuous assessment. All the projects are based on HTML and Java technology and are independent of any commercial software. In recent years, over 700 students per year, in different first and second cycle studies, have used our projects with a good overall satisfaction index as conformed by different surveys. Students, teachers and Statmedia group members firmly agree on the convenience of case-based learning with student-specific data.
  • Keywords: multimedia statistics, case learning, Internet, continuous assessment..
  • AMS Subject classifications: 97D80, 97U50, 97U60, 97U70.
  • PDF PDF (428.89 KB)